Kami dari Kelompok 06 Kecerdasan Buatan D akan mengimplementasikan tentang 2 Algoritma Informed Search yaitu A* Algorithm dan Greedy BFS

IBM Think2020 IoT Lab - Hyper Localized Weather and Crop prediction using Watson

Converting WhatsApp chat data into a Word Cloud | Python | Simple Way

Decoding CAR CAN Frames and Analyzing Data in Python for Micro Controller (Raspberry Pi V4)

Python Notepad

Microsoft Engage 2022 Project - Movie Recommendation System , using PYNB , FLASK , REACT JS , NODE JS

Automatically assign shelter to Homeless People by implementing stacks using ML algorithm.

Gathers data from a given amount of suggested videos using YouTube's Data API. Comes with a Jupyter Notebook used to plot relationships between key data points. Started this project to research YouTube recommendations and answer specific research questions.

Counting the upvotes of any sites using traditional upvoting system such as Stack Overflow

Python notebooks for the demonstration of ML model interpretations

Análise Estatística da Pesquisa Nacional por Amostra de Domicílios

Encode text into audio and then decode it too!

A repository of multiple AI projects

Done as Part of Intro to AI Mini Project for coursework at Virginia Tech

Comprehensive Jupyter notebook analysis of the blockchain job market, detailing trends, salary data, and job distribution to aid job seekers and employers in the Web3 space.

Created interactive Power BI dashboards using YouTube API data to analyse user behaviour, trends & statistics as a part of ad-hoc analyses, resulting in actionable insights for content strategy and a significant boost in advertising ROI for advertisement agencies.

In this project i took a Hollywood movie industry datasets and analyse that what variables affect the gross revenue from movies and done the visualization using matplotlib and seaborn.

In this project, I used coin market cap website's API to pull data from that website, then i used Python to pull all the datas and used pandas library to normalize the data that i pulled from the website.Then, I converted the data into CSV file & done the visualization using Seaborn & Matplotlib.

In this Project, I took a customer call data sets from kaggle and done a Data cleaning using Pandas in Jupyter notebook.

ISS project Synthetic piano